Kristian Gjøsteen is a Professor at the Department of Mathematical Sciences within the Norwegian University of Science and Technology (NTNU) . He actively contributes to the Algebra Group and specializes in cryptographic systems with a focus on electronic voting , security proofs , and privacy-enhancing technologies . Educational Background: MSc and PhD from NTNU Research Interests: His work spans cryptography , key exchange protocols , cloud security , and formal verification of security mechanisms. Particular emphasis is placed on coercion-resistant voting systems , lattice-based encryption , and blockchain privacy models . Article Trends: Recent publications demonstrate expertise in post-quantum cryptography , machine-checked security , and privacy-preserving voting architectures . Collaborative efforts explore hybrid cryptographic schemes , verifiable decryption , and mix-net implementations for secure elections.
Prof. Dr.-Ing. Stefan Schulte is a Full Professor at Hamburg University of Technology, leading the Institute for Data Engineering and the Christian Doppler Laboratory Blockchain Technologies for the Internet of Things (CDL-BOT). He holds a diploma in Economics and a Bachelor's in Computer Science from the University of Oldenburg, followed by a Master's in Information Technology (with Merit) from the University of Newcastle. After completing his PhD at TU Darmstadt in 2010, he held roles as Postdoctoral Researcher at TU Wien, Assistant Professor (tenure-track), and eventually Associate Professor before joining TU Hamburg in 2021. His research focuses on data engineering, blockchain technologies applied to IoT, elastic computing, and quality-of-service (QoS) aspects in smart systems. Notable contributions include work on fog computing, federated learning, and cross-blockchain interoperability. He has published over 140 papers in top-tier venues like IEEE Transactions on Services Computing and ACM Computing Surveys. Key awards include Best Paper Awards at the IEEE International Conference on Blockchain (2020) and the European Conference on Service-Oriented and Cloud Computing (2023). Prof. Schulte chairs major conferences such as the IEEE International Conference on Fog and Edge Computing (ICFEC 2025) and serves on editorial boards for journals like IEEE Transactions on Services Computing. He leads CDL-BOT, a lab exploring blockchain applications in IoT and manufacturing. His industrial collaborations include projects like SIMPLI-CITY (smart mobility) and CREMA (cloud-based manufacturing). Current research emphasizes blockchain interoperability, federated learning frameworks, and edge-AI systems. He actively reviews proposals for the German Research Foundation, EU programs, and industry initiatives.
Tejaswini Herath is a Professor of Information Systems at the Goodman School of Business, Brock University. Her research focuses on information security governance, mobile payment technologies, and the ethical implications of technology adoption. She has contributed extensively to understanding cybersecurity challenges, digital privacy, and the socio-economic impacts of emerging technologies. Her work often bridges technical and organizational aspects, emphasizing frameworks for risk management and innovation adoption. Recent studies include analyses of mobile payment systems in developing economies, cryptocurrency valuation ethics, and pandemic-era technology governance lessons. Her research spans interdisciplinary topics such as phishing susceptibility, user behavior in digital environments, and the integration of cybersecurity into organizational strategies. She has published over 50 peer-reviewed articles, with a focus on practical applications of theoretical models like Bayesian post-audit frameworks and technology-organization-environment (TOE) models. Her work addresses both academic and industry audiences, advocating for balanced scorecard approaches to security performance measurement. Tejaswini Herath is actively involved in curriculum development for information systems education, emphasizing student motivation and learning outcomes in IS courses. She collaborates with global institutions to study cross-cultural technology adoption patterns and policy implications.
Shin'ichiro Matsuo is a Research Professor of Computer Science at Georgetown University specializing in blockchain security and cryptography. He co-directs the CyberSMART research center, leading multidisciplinary research in technology, economy, law, and regulation. Matsuo serves as co-chair of Blockchain Governance Initiative Network (BGIN) and founded BSafe.network, an international research test network for blockchain technology with 27 participating universities. His academic contributions include leadership in ISO TC307 security standardization and previous roles as head of Japanese national body for cryptographic techniques. Research Interests: Blockchain governance and security Cryptographic protocols and applications Privacy-enhancing digital trust systems Smart contract mechanisms Digital currency interoperability Awards & Recognition: Program Chair for IEEE ICBC 2022 and Scaling Bitcoin 2018 Leader of ISO TC307 Blockchain Security Standardization Editorial Board Member for IEEE Transactions on Dependable and Secure Computing Professional Activities: Founder of CELLOS Consortium for cryptographic protocol security Steering Committee Member for Security Standardization Research Technical Advisor to Japanese government on cryptographic technology
Shahin Kamali is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. Previously, he served as an Assistant Professor at York University (2022-2024) and the University of Manitoba (2017-2022), where he continues to hold an Adjunct Professor position. He completed his Ph.D. in Computer Science at the University of Waterloo in 2014 and was a postdoctoral fellow at MIT's CSAIL lab from 2015-2017. Dr. Kamali received his B.Sc. from the University of Tehran and his M.Sc. from Concordia University, both in Computer Science. He has earned teaching certifications including the Kaufman Teaching Certificate Program from MIT and the Certificate in University Teaching from the University of Waterloo. His research focuses on algorithms' design, analysis, and limitations, with particular emphasis on online problems such as bin packing, paging, list update, and k-Server. His work extends to big-data applications of algorithms in data compression, graph partitioning, resource allocation in the cloud, and algorithmic aspects of blockchain technology. His recent publications (2023-2025) demonstrate a strong focus on learning-augmented algorithms, online computation with predictions, and novel applications in blockchain and graph theory. His research has been supported by multiple NSERC grants since 2010, with recent projects investigating models, applications, and limitations of online algorithms. He has successfully supervised numerous graduate students and serves on various committees related to algorithms conferences and academic governance. University of Waterloo Doctoral Thesis Completion Award (2014) University of Waterloo Mathematics Graduate Experience Award (2008) Dr. Kamali teaches advanced courses in algorithms and data structures and is scheduled to teach Design and Analysis of Algorithms (EECS 3101) in Fall 2025 and Advanced Data Structures (EECS 4101/5101) in Winter 2026. He is actively involved in organizing major conferences, including CCCG and WADS 2025 at York University.
Kangkook Jee is an Assistant Professor in the Department of Computer Science at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. His work focuses on cybersecurity, machine learning applications in security, data provenance analysis, and graph neural networks. He has developed systems like ProvIoT for IoT security and UTrack for enterprise user tracking. His research addresses challenges in adversarial machine learning, malware detection, and robust graph classification under adversarial conditions. He also explores federated learning, confidential computing, and blockchain-based secure data sharing. Key contributions include techniques for detecting stealthy attacks in IoT, improving graph neural network robustness against adversarial node modifications, and enhancing intrusion detection through provenance-based analysis. His work bridges theoretical advancements in machine learning with practical enterprise security solutions. Notable systems include AIQL for efficient attack investigation and SEAL for storage-efficient causality analysis in enterprise logs. Research trends across his publications emphasize combining provenance tracking with modern ML techniques to address evolving cybersecurity threats. Work in 2024-2025 focuses on decompilation challenges, federated edge-cloud security, and graph abstraction methods for robust classification. No scientific awards are explicitly listed in the provided texts. His grants and advising activities are not detailed here, though his extensive publication record suggests active collaborative research. His lab works on tools like Nodoze for automated threat triage and APTrace for agile causality analysis in enterprise systems.
Dr. Amizan Omar is an Associate Professor in Strategic Management at the School of Management, University of Bradford, where she also serves as the Director of Accreditation for the Faculty of Management, Law and Social Sciences. With over 15 years of government experience in Malaysia, including roles as Assistant Director of Talent Management and Chief Assistant Director of Business Development, she brings practical insights to her academic work. Her interdisciplinary research focuses on the institutionalization of digital technology in organizations, particularly within the public sector. She examines how digital technologies interact with institutional actors and structures to drive public service transformation toward sustainable societies. Her work spans digital government, AI ethics in HRM, talent management in the circular economy, and public sector innovation. Dr. Omar has published over 30 scientific articles in leading peer-reviewed journals and conferences, including 12 journal articles, 6 conference publications, and 1 book chapter. Her research demonstrates consistent exploration of how digital transformation reshapes public sector institutions and service delivery, with recent work increasingly focusing on ethical implications of emerging technologies. Fellow of the UK Higher Education Academy (FHEA) Associate Member of the Chartered Institute of Personnel and Development (CIPD) Editorial advisory board member of Journal of Information Technology (JIT) Editorial advisory board member of Journal of Electronic Government Research (IJEGR) Chair of digital government mini-track for the 2022 Americas Conference on Information Systems As a Co-Investigator on multi-million-pound research projects funded by the European Commission (FP7 and H2020) and UK Local Government, Dr. Omar has secured significant research funding. She is an active member of the British Academy of Management (BAM) and the Association for Information Systems (AIS), contributing to the academic community through leadership roles and editorial work.
Jixing Li is an Assistant Professor at the Martin Tuchman School of Management, New Jersey Institute of Technology. His teaching includes courses on Financial Markets, Blockchain Technology, and Corporate Finance. Research interests focus on financial systems, market behaviors, and emerging technologies in finance. Key areas include blockchain applications in business, market microstructure, and the economic impact of financial innovations. Awards and grants information is not detailed in available materials. Current teaching responsibilities and institutional service roles are not specified in the source text.
Professor Wei Shi is a faculty member at the School of Computer Science, Carleton University. His research focuses on distributed computing, cloud networks, algorithm design for sensor/actuator systems, big data analytics, and data privacy. Notable projects include federated learning optimizations, blockchain-enabled edge intelligence for IoT/vehicle networks, and AI-driven cybersecurity solutions. His work addresses challenges in dynamic resource allocation, anomaly detection, and privacy-preserving techniques. Research Interests: Distributed Computing: Optimizing federated learning and client selection algorithms for wireless networks. Blockchain & Edge Intelligence: Developing decentralized systems for IoT and vehicular networks using AI large models. Security & Privacy: Innovating methods to detect AI-generated content, combat cyber-physical attacks, and protect user data privacy. Publications: Recent works emphasize federated learning applications, blockchain integration with edge computing, and cybersecurity for vehicular/IoT ecosystems. Key themes include energy-efficient algorithms, dynamic resource allocation, and intrusion detection in constrained environments. Email: wei.shi@carleton.ca
Dr. Tao (Kevin) Huang is a researcher at James Cook University's College of Science and Engineering, with expertise spanning autonomous driving, wireless communication systems, and medical imaging applications. His work integrates machine learning, sensor fusion, and multimodal data analysis to address complex challenges in vehicular networks, environmental monitoring, and healthcare technology. Research Interests: Dr. Huang's research focuses on Autonomous driving perception systems IoT-enabled vehicular networks AI for medical diagnostics and environmental sensing Signal processing and privacy-preserving communication protocols Recent Publications: His 2025 work emphasizes advancements in V2X cooperative perception, radar-LiDAR-camera fusion, and diffusion models for medical imaging. Key trends include cross-modal robustness, real-time processing for autonomous systems, and AI applications in sustainability.
Breno Nunes is a Reader in Sustainable Operations Management at Aston Business School, part of the College of Business and Social Sciences at Aston University. He is affiliated with the Centre for Circular Economy and Advanced Sustainability (CEAS) and the Cyber Security Innovation (CSI) Research Centre. His research focuses on sustainable operations, green technology, environmental decision-making, and automotive industry sustainability. He holds a PhD from Aston University (2011), MSc and BSc in Industrial Engineering from the Federal University of Rio Grande do Norte (UFRN). Education: PhD in Management (2006–2011), Aston University MSc in Industrial Engineering (2005), UFRN BSc in Industrial Engineering (2003), UFRN Research Interests: Sustainable Operations Management Green Technology Adoption Automotive Industry Sustainability Supply Chain Management Sustainability Strategies Environmental Decision-Making Articles and Research Trends: His recent work explores product essentiality, net-zero implementation, socioecological systems, and circular economy applications in healthcare. These studies emphasize interdisciplinary approaches to sustainability challenges, leveraging Industry 4.0 technologies and systems analysis. Awards and Honors: Best Developmental Paper Award (2024) Premio CAPES de Tese - Co-supervision (2024) IAMOT Fellow Award (2019) Advising and Grants: Accepts PhD students but no specific grants are listed. Advises on sustainable operations and green technologies. Labs and Teams: Centre for Circular Economy and Advanced Sustainability (CEAS) Cyber Security Innovation (CSI) Research Centre
Dr. Xiao Li is an Assistant Professor in the Department of Computer Science and Engineering at Santa Clara University, School of Engineering. His research focuses on blockchain technology applications in distributed systems (Edge Computing, IoT, Federated Learning), machine learning, and privacy-preserving frameworks. He has a Ph.D. in Computer Science from The University of Texas at Dallas (2024) and was awarded the Jan P. Van der Ziel Engineering Fellowship there. Education: Ph.D. in Computer Science, The University of Texas at Dallas, 2024 Research interests include: Blockchain architecture optimization in resource-constrained environments Machine learning model development for cryptocurrency analysis Cybersecurity disclosure sentiment analysis using unsupervised techniques Low-resource data challenges in psychiatric clinics Professional activities: Program Committee Member, IEEE International Workshop on Blockchain and Smart Contracts (IEEE BSC 2024) Recruitment of PhD/Master’s students specializing in blockchain, distributed machine learning, and edge computing Office Location: Bergin 206 Office Hours: Mon/Wed 4pm-5pm (Winter 2025)
Prof. Catherine De Wolf is an Assistant Professor at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering and Deputy Head of the Institute of Construction and Infrastructure Management. She leads the Chair of Circular Engineering for Architecture (CEA), an interdisciplinary lab focused on automating building material reuse through digital innovation. Her work bridges academia, government, and industry, exemplified by partnerships with institutions like the Centre Pompidou and initiatives like Anku and the Digital Circular Economy (DiCE) Lab. She is also a faculty member at ETH Zurich's AI Center and collaborates with EMPA's Urban Energy Systems Lab. Her roles include Chair of the Design++ Advisory Board and PI in the National Centre of Competence in Research on Digital Fabrication (DFAB). Education: Catherine holds a PhD in Building Technology from MIT, with prior studies in Civil Engineering and Architecture at VUB and ULB. She has additional training in documentary filmmaking and postdoctoral research at the University of Cambridge and EPFL's Structural Xploration Lab, funded by Marie Sklodowska-Curie and Swiss Excellence scholarships. Research Interests: Her work centers on digital tools for circular construction, including blockchain-based material passports, AI-driven design, and automated deconstruction planning. Key areas include: Material reuse and lifecycle analysis Building Information Modeling (BIM) applications Decentralized data networks in construction Carbon reduction in structural systems Interdisciplinary collaboration across engineering, architecture, and computer science Awards: Marie Sklodowska-Curie Postdoctoral Fellowship (European Commission) Swiss Excellence Scholarship Advising & Grants: Catherine has overseen projects funded by EU initiatives and industry partnerships. Her research group actively collaborates with firms like Arup and Thornton Tomasetti through initiatives such as the Structural Engineers 2050 Commitment. She advises on policy frameworks like the EU's Level(s) sustainability standard. Labs & Teams: Her CEA lab operates with 20+ researchers and has pioneered tools like the '5D Digital Circular Workflow.' The lab's work is showcased in real-world projects such as the Centre Pompidou material reuse case study.
Associate Professor Benjamin Turnbull is Deputy Head of School at UNSW Canberra's School of Systems & Computing. His research focuses on cybersecurity, simulation, and emerging technologies, aiming to develop decision support systems for cyber resilience. He leads large-scale research projects funded by organizations like CSIRO, Australian Defence Force, and the US Naval Research Laboratory, totaling over $3 million AUD in grants. Teaching contributions include co-creating the Bachelor of Cyber Security program and directing multiple postgraduate cybersecurity offerings. His educational design emphasizes industry-relevant courses, from undergraduate to executive programs like the UNSW Online Cyber Security Masters. He has extensive experience in curriculum design, content development, and online education. Research interests span cyber situation awareness, secure simulation platforms, and automated learning from big datasets. Notable projects include the UNSW-MG24 microgrid cybersecurity dataset and frameworks like OQFL (quantum-based federated learning) for intelligent transportation systems. His work bridges theory and practice, with outputs including software tools and policy recommendations for cyber resilience in critical infrastructure. Key collaborations include the Cyber Cooperative Research Centre and DST Group. He has authored over 100 peer-reviewed publications, focusing on IoT security, blockchain-enabled learning, and cyber-physical-social systems resilience. His grants emphasize applied research with direct societal impact, such as mitigating supply chain cyber risks and enhancing microgrid cybersecurity.
Kieron O'Hara is an Associate Professor in Electronics and Computer Science at the University of Southampton. He is a founding contributor to Web Science, focusing on digital modernity's societal, economic, and political impacts. His work explores privacy preservation in AI/ML contexts, trust dynamics in networked societies, and internet governance. He co-authored seminal works like A Framework for Web Science (2006) and Four Internets (2021), and chairs UKAN's anonymisation network. He has held roles at the Ministry of Justice's transparency panel and serves as editor of Foundations and Trends in Web Science . Research Groups: Web and Internet Science, Centre for Democratic Futures External Roles: Speaker for 'Four Internets: The Ethics and Geopolitics of the Internet' (2019) His research interests include anonymisation techniques, data geopolitics, and the ethical implications of emerging technologies. Notable awards include Best Paper prizes at ACM Web Science (2016) and Best Oral Presentation at Sensecam (2012). Current projects focus on provenance/anonymization frameworks and national identity system analysis, funded by the Alan Turing Institute.
